Citas bibligráficas
Sanchez, L., (2022). Uso de redes sociales para mejorar las exportaciones de la empresa textil Mundo Alpaca S. A. C., del distrito de Santa María de Huachipa, Lima-Perú, 2021 - 2022 [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/33006
Sanchez, L., Uso de redes sociales para mejorar las exportaciones de la empresa textil Mundo Alpaca S. A. C., del distrito de Santa María de Huachipa, Lima-Perú, 2021 - 2022 [Tesis]. PE: Universidad Privada del Norte; 2022. https://hdl.handle.net/11537/33006
@misc{renati/525443,
title = "Uso de redes sociales para mejorar las exportaciones de la empresa textil Mundo Alpaca S. A. C., del distrito de Santa María de Huachipa, Lima-Perú, 2021 - 2022",
author = "Sanchez Ruiz, Liliana Keyli",
publisher = "Universidad Privada del Norte",
year = "2022"
}
The certainty of an active presence that social networks have in business, helps to increase their income, and the establishment of relationships with customers around the world; in this context, in the unit of analysis there is no use of social networks to promote exports, therefore, the main objective of this study was to determine the relationship between the use of social networks to improve exports of the textile company Mundo Alpaca S.A.C., in the district of Santa Maria de Huachipa, Lima-Peru, 2021 - 2022. Through the quantitative approach, non-experimental - transversal design, correlational level; a questionnaire with 24 items was applied, which was developed based on the consistency matrix, matrix of operationalization of variables and operationalization matrix of the instrument, and was validated by three experts, and whose reliability was through Cronbach's Alpha with an index of 0.985; this instrument was applied to a sample of 52 employees of the unit of analysis, and analyzed through the SPSS 26 statistical software. The results were a coefficient (r=0.991), and a value of (p=0.000). It was concluded that there is a positive and strong relationship between the variables studied, so that the greater the use of social networks, the higher the export indexes, and vice versa.
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